Design of multi-scale protein complexes by hierarchical building block fusion

Yang Hsia(University of Washington), Rubul Mout(University of Washington), William Sheffler(University of Washington), Natasha I. Edman(University of Washington), Ivan Vulovic(University of Washington), Young‐Jun Park(University of Washington), Rachel L. Redler(New York University), Matthew J. Bick(University of Washington), Asim K. Bera(University of Washington), Alexis Courbet(University of Washington), Alex Kang(University of Washington), TJ Brunette(University of Washington), Una Nattermann(University of Washington), Evelyn Tsai(University of Washington), Ayesha Saleem(University of Washington), Cameron M. Chow(University of Washington), Damian C. Ekiert(New York University), Gira Bhabha(New York University), David Veesler(University of Washington), David Baker(Howard Hughes Medical Institute)
Nature Communications
April 16, 2021
Cited by 89Open Access
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Abstract

A systematic and robust approach to generating complex protein nanomaterials would have broad utility. We develop a hierarchical approach to designing multi-component protein assemblies from two classes of modular building blocks: designed helical repeat proteins (DHRs) and helical bundle oligomers (HBs). We first rigidly fuse DHRs to HBs to generate a large library of oligomeric building blocks. We then generate assemblies with cyclic, dihedral, and point group symmetries from these building blocks using architecture guided rigid helical fusion with new software named WORMS. X-ray crystallography and cryo-electron microscopy characterization show that the hierarchical design approach can accurately generate a wide range of assemblies, including a 43 nm diameter icosahedral nanocage. The computational methods and building block sets described here provide a very general route to de novo designed protein nanomaterials.


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